 function x = nufft_adj_RG(X, st)
%function x = nufft_adj_FFT(X, st)
% Apply adjoint of d-dimensional NUFFT to spectrum vector(s) X
% in
%	X	[M,(L)]
%	st			structure precomputed by nufft_init()
% out
%	x	[(Nd),(L)]	signal(s)/image(s)
%
% Copyright 2003-6-1, Jeff Fessler, The University of Michigan

%
% if no arguments, then run a simple test

% extract attributes from structure
if nargin < 1
	help(mfilename)

	N1 = 4;
	N2 = 8;
	n_shift = [2.7 3.1];	% random shifts to stress it
	o1 = 2 * pi * [0.0 0.1 0.3 0.4 0.7 0.9]';
	o2 = flipud(o1);
	om = [o1 o2];
	st = nufft_init(om, [N1 N2], [4 6], 2*[N1 N2], n_shift, 'minmax:tuned');
	X = [1:length(o1)].^2';	% test spectrum
	xd = dtft2_adj(X, om, N1, N2, n_shift);
	xn = nufft_adj([X X X], st);
	printf('nufft vs dtft max%%diff = %g', max_percent_diff(xd,xn(:,:,2)))
%	s2 = nufft2_init([o1 o2], N1, N2, 4, 6, 2*N1, 2*N2, n_shift, 0, 'best');
%	printf('nufft vs nufft2 max%%diff = %g', max_percent_diff(s2.p,st.p))
return
end

% extract attributes from structure
Nd = st.Nd;
Kd = st.Kd;
dims = size(X);
if dims(1) ~= st.M, error size, end

%
% adjoint of interpolator using precomputed sparse matrix
%
if length(dims) > 2 | dims(2) > 1
	Lprod = prod(dims(2:end));
	X = reshape(X, [st.M Lprod]);	% [M,*L]
else
	Lprod = 1;	% the usual case
end

if ~isvar('st.interp_table_adj')
	Xk_all = full(st.p' * X);			% [*Kd,*L]
else
	Xk_all = feval(st.interp_table_adj, st, X);
end

% x = zeros(prod(Kd), Lprod);			% [*Kd,*L]
for ll=1:Lprod
	x = reshape(Xk_all(:,ll), [Kd 1]);	% [(Kd)]
% 	x(:,ll) = col(prod(Kd) * ifftn(Xk));	% scale factor!
%     x=prod(Kd) * ifftn(Xk);
end
% x = reshape(x, [Kd Lprod]);			% [(Kd),*L]

% eliminate zero padding from ends  fix: need generic method
% % % % % if length(Nd) == 1
% % % % % 	x = x(1:Nd(1),:);			% [N1,*L]
% % % % % elseif length(Nd) == 2
% % % % % 	x = x(1:Nd(1),1:Nd(2),:);		% [N1,N2,*L]
% % % % % elseif length(Nd) == 3
% % % % % 	x = x(1:Nd(1),1:Nd(2),1:Nd(3),:);	% [N1,N2,N3,*L]
% % % % % else
% % % % % 	error 'only up to 3D implemented currently'
% % % % % end
% % % % % 
% % % % % % scaling factors
% % % % % x = reshape(x, [prod(Nd) Lprod]);		% [*Nd,*L]
% % % % % snc = conj(col(st.sn));				% [*Nd,1]
% % % % % x = x .* snc(:,ones(1,Lprod));			% scaling factors
% % % % % x = reshape(x, [Nd dims(2:end)]);		% [(Nd),(L)]
